<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 31st August 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you brochures by <strong>Agilent Technologies </strong>and<strong> Waters Corporation </strong>and application notes by <strong>Shimadzu </strong>and<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Agilent OpenLab ICP-MS Software</strong></h3><p><strong>Simplify every step of ICP-MS analysis</strong></p><p><strong>For Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7800"><strong>7800</strong></a><strong>, </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7850"><strong>7850</strong></a><strong>, and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=7900"><strong>7900</strong></a><strong> ICP-MS systems, and Agilent </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=8900"><strong>8900</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>9500 ICP-QQQ</strong></a><strong> systems.</strong></p><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/br_openlab_icp_ms_software_5994_9288en_agilent_05f01dcdef.pdf"><strong>Full PDF for download</strong></a><strong>&nbsp;</strong></li></ul><p>The brochure introduces <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=OpenLab+ICP-MS+Software"><strong>Agilent OpenLab ICP-MS Software</strong></a>, designed to simplify routine operation and data handling for <strong>Agilent 7800, 7850, and 7900 ICP-MS systems</strong> and the <strong>8900</strong> and <strong>9500</strong> <strong>ICP-QQQ systems</strong>. The software supports the complete analytical workflow—from checking instrument readiness and creating batches to acquisition, data review, reporting, and compliance. A central dashboard provides an overview of system status, maintenance requirements, instrument health, and utilization, while Smart EMF and post-run performance checks help users identify when maintenance may be required. Guided Diagnostics, Meter Monitor, and time-stamped system records also support troubleshooting by tracking parameters such as vacuum levels, gas flows, and temperatures.</p><p>Method and batch setup are designed to reduce manual configuration. Batches can be created from preset methods, templates, existing batches, Method Wizard, or Method Advisor, and legacy Agilent ICP-MS MassHunter batches can be opened directly in OpenLab ICP-MS. For the <strong>9500 ICP-QQQ</strong>, Method Advisor provides an element-focused approach in which users select target elements and calibration information while the software applies recommended acquisition masses and cell-gas conditions. Preset methods are available for applications including <strong>EPA 200.8/EPA 6020, USP &lt;232&gt;, ICH Q3D, and Chinese Pharmacopoeia requirements</strong>, while an IntelliQuant Screening preset supports semiquantitative screening of unknown samples. Routine instrument tasks can also be automated through autotuning, startup checks, batch queues, end-of-run verification, rinse functions, and automatic shutdown.</p><p>For data evaluation, OpenLab ICP-MS provides a real-time workspace where users can review analyte concentrations, internal-standard recoveries, stability plots, spectra or chromatograms, calibration information, QC charts, and IntelliQuant results in a single view. <strong>IntelliQuant</strong> acquires a complete mass spectrum and displays semiquantitative elemental concentrations using a color-coded periodic table, while <strong>IntelliQuant Star Rating</strong> assigns a zero-to-five-star data-quality score based on factors such as potential interferences, calibration quality, background, detection limits, and precision. Reporting options include whole-batch reports, elemental impurity reports for USP &lt;232&gt;/&lt;233&gt; and ICH Q3D, customizable reports, structured CSV export, and direct data transfer to LIMS.</p><p>The software can be expanded for specialized applications, including <strong>LC-ICP-MS and GC-ICP-MS</strong>, advanced QC workflows, single-particle ICP-MS and FFF-ICP-MS, ADS 2 automation, semiconductor analysis, and peripheral-device control. Supported analytical approaches include external calibration, standard additions, semiquantitative calibration, isotope ratios, and isotope dilution. For regulated laboratories, OpenLab ICP-MS can be combined with scalable OpenLab compliance solutions providing electronic signatures, user access control, configurable roles, system activity logs, and audit trails, supporting workflows subject to <strong>21 CFR Part 11, EU Annex 11, and equivalent regulations</strong>. Overall, the platform is positioned as a unified environment for routine and advanced ICP-MS workflows, combining instrument control, method setup, diagnostics, data-quality assessment, reporting, and compliance support.</p><h3><strong>2. Shimadzu: Identification of Virgin PET and Recycled PET by X-ray Fluorescence Spectrometry</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01204_en_f3f20ff020.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User benefits</strong></h5><ul><li>EDX enables the identification of recycled PET.&nbsp;</li><li>Measurements are quick and simple, require no cumbersome pretreatment, and can be automated using a multi-sample turret.&nbsp;</li><li>The instrument offers excellent cost-performance and supports the detection of a wide range of elements.</li></ul><p>Establishing a sustainable circular economy is a major societal challenge, and recycling plastic materials such as PET (polyethylene terephthalate) plays a particularly important role in reducing environmental impact. Large numbers of PET bottles and molded products are used every day in the food and beverage sectors. To recycle these materials safely and reliably, technologies are required that can accurately identify their origin. In practice, however, appearance and conventional physical properties alone are insufficient to distinguish virgin material from recycled material, creating a need for a more reliable identification method.&nbsp;</p><p>For rapid identification in industrial settings, a method requiring little or no pretreatment is highly desirable. In some cases, nondestructive analysis is also needed to enable subsequent application of other analytical techniques. This article presents a practical approach in which metal catalysts present in PET are detected by EDX (Energy-Dispersive X-ray Spectroscopy) and used to distinguish material-recycled PET from virgin PET.</p><h4><strong>Principle and Overview&nbsp;</strong></h4><p>Metal catalysts such as antimony (Sb) and germanium (Ge) are used in the synthesis of PET resin. These catalyst metals have been reported to be useful indicators of material origin. 1),2) For example, Sb and Ge are frequently detected together in material-recycled PET, whereas only one catalyst metal is detected in chemically recycled PET and virgin PET. This likely reflects the fact that material-recycled PET is derived from a mixture of feedstocks using different catalysts.&nbsp;</p><p>ICP-AES (ICP optical emission spectrometry) and ICP-MS (ICP mass spectrometry), which are commonly applied to catalyst metal analysis, provide high sensitivity and accuracy. However, they require pretreatment to convert the sample into a solution, thereby lengthening the analytical workflow. By contrast, EDX can measure solid samples directly, making it well-suited to applications requiring rapid results, such as incoming material inspection and in-line analysis in molding plants. Because EDX is non-destructive, it is also suitable for multimodal analytical workflows.&nbsp;</p><p>On the other hand, some commercially available handheld EDX instruments do not support elements such as Sb and Ge. At the same time, higher-end systems may not offer the specifications or price range needed for industrial deployment. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=EDX-7200"><strong>EDX-7200</strong></a> supports a broad range of elements with excellent cost performance. This article describes the analysis of Sb and Ge in PET using this instrument.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>EDX enables rapid and straightforward elemental analysis without cumbersome sample pretreatment. Previous studies have shown that the presence of Sb and Ge can be used to identify recycled PET. Building on this concept, this article presents a practical analytical approach based on EDX. Using the EDX-7200, which combines broad elemental coverage with excellent cost performance, the proposed method provides a practical tool for rapid on-site identification, quality control, and traceability management. When combined with physical property data and other information, this approach is expected to contribute to the safety assessment and quality assurance of recycled materials, thereby supporting a more advanced circular economy.</p><h3><strong>3. Thermo Fisher Scientific: Optimizing lithium-ion battery recycling operations using handheld XRF analysis</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/lithium_ion_battery_recycling_handheld_xrf_analysis_an1120_en_4c00477b78.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The shift to a low-carbon economy and the adoption of electric vehicles will drive an exponential increase in the demand for lithium-ion batteries. As a corollary to this, the International Energy Agency expects the demand for some key commodities to increase significantly over the next two decades: the demand for Copper (Cu) is anticipated to increase by more than 40%; for nickel (Ni) and cobalt (Co), by 60-70% each; and for lithium (Li), by nearly 90%.¹ This will translate into increased mining activities and potentially generate larger amounts of deleterious waste.&nbsp;</p><p>To reduce the environmental impact and limit reliance on scarce commodities associated with economical and geopolitical implications, several countries have implemented regulations regarding producers’ responsibilities.² These regulations contain both incentives and accountability guidelines for lithium-ion battery and electric vehicles manufacturers. Their goal is to facilitate the emergence of a circular economy in which recycling will increasingly contribute to the supply of the strategic raw materials.&nbsp;</p><p>Lithium-ion batteries are made of multiple components, the most valuable being the cathode that contains between 40 and 70% ³, ⁴ of the total value of the battery, depending on its exact chemistry. As of 2023, lithium nickel cobalt manganese oxides (NCM) account for 66% of lithium-ion battery cathode active materials for electric vehicles, followed by lithium iron phosphates (LFP) which account for 24%, and lithium nickel cobalt aluminum oxide (NCA) accounts for the remaining 10%.³</p><h4><strong>Handheld X-ray Fluorescence Analysis&nbsp;</strong></h4><p>Handheld X-ray fluorescence analysis (HHXRF) is an elemental analysis technique that has proven to be cost-effective in recycling areas such as scrap metal and automotive catalytic converters. HHXRF can measure elements from magnesium (Mg) to uranium (U) in various types of materials such as metals and alloys; non-metallic inorganic materials such as ceramics; or ores or plastics. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1993"><strong>Thermo Scientific™ Niton™ XL2</strong></a> and <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/1992"><strong>Thermo Scientific™ Niton™ XL5 Plus Handheld XRF Analyzers </strong></a>deliver accurate elemental analysis in real time, with little or no sample preparation, across multiple steps of the lithium-ion battery recycling workflow. Although handheld XRF does not detect lithium, it can measure most elements from the periodic table including nickel or cobalt which often command much higher value than the lithium in a lithium-ion battery.⁴</p><h4><strong>Conclusion&nbsp;</strong></h4><p>There is no ideal process to recycle lithium-ion batteries that simultaneously incorporates low environmental impact, high metal recovery yield, and economic viability. Because of the variety of technologies and materials used, recycling lithium-ion batteries is a complex journey with multiple possible paths. HHXRF helps recyclers by generating lab-quality data in real time, allowing them to optimize their processes and make fast decisions that generate significant benefits:&nbsp;</p><ul><li>Unwanted materials containing heavy metals such as lead or cadmium can be prevented from entering subsequent steps in the recycling workflow.&nbsp;</li><li>Materials can be accurately sorted and adequate processes for recovery selected depending on the material type (e.g., LFP vs. MCM).&nbsp;</li><li>The economic value of incoming and outgoing material can be more accurately estimated.</li></ul><h3><strong>4. Waters Corporation: Waters Aura Systems</strong></h3><ul><li>Brochure</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/720009268_7b9ad02cb4.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The presentation introduces the <strong>Waters Aura Systems</strong>, a family of high-throughput, fluidics-free instruments for the characterization and identification of visible and subvisible particles. All Aura platforms provide particle counting, identification, morphology assessment, and flexible sample volumes ranging from microliters to milliliters. The portfolio includes configurations tailored to different applications: <strong>AuraBMI</strong> for biologics particle analysis, <strong>Aura</strong> for particle analysis with identification, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2437"><strong>AuraPTx</strong></a> for protein formulation development, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2438"><strong>AuraGT</strong></a> for gene therapy, <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2439"><strong>AuraCL</strong></a> for cell therapy, and <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2190"><strong>Aura+</strong></a> as the most comprehensive platform. The systems are designed for automation-ready operation, straightforward method transfer, and continuity from research through QC.</p><p>A key feature of the Aura platform is the combination of <strong>Backgrounded Membrane Imaging (BMI), Fluorescence Membrane Microscopy (FMM), and Side Illumination Membrane Imaging (SIMI)</strong>. BMI captures particles on a membrane and subtracts the membrane background to improve particle contrast, while FMM uses fluorescent dyes or conjugated antibodies to distinguish specific particle types. This enables differentiation of protein aggregates, cells, viral capsids, degraded excipients, plastics, fibers, and other contaminants that may look similar based on morphology alone. SIMI adds further information for identifying unlabeled inorganic particles such as glass, fibers, and Dynabeads. Together, these techniques provide more specific particle identification than morphology-based classification alone.</p><p>The systems are particularly suited to <strong>biologics, gene therapy, and cell therapy development</strong>. For gene therapy, Aura can evaluate AAV stability, distinguish capsid-related particles, and monitor DNA leakage using SYBR Gold fluorescence, with measurements possible from as little as <strong>5 µL of sample</strong>. For cell therapy, the system can differentiate single cells, cell aggregates, protein aggregates, and extrinsic particles. The platform also supports flexible sample volumes and 24- or 96-well membrane formats, allowing the same general approach to be used from sample-limited early development through larger-volume and QC workflows. The brochure reports excellent quantitative linearity across serial dilutions and emphasizes the ability to preserve sample for additional orthogonal analyses.</p><p>From a technical perspective, Aura Systems provide <strong>100% sampling efficiency</strong>, a particle detection and quantitation range above <strong>1 µm</strong>, and can handle concentrations above <strong>3,000,000 particles/mL</strong> for 1.6 µm particles. Brightfield membrane imaging takes approximately <strong>one minute per sample</strong>, while fluorescence measurements require about <strong>15–30 seconds per sample</strong>. The instruments are compatible with robotic automation and offer different fluorescence-channel configurations depending on the selected Aura model. Overall, the platform is positioned as a comprehensive solution for obtaining quantitative particle counts together with information on particle identity and composition across the development and quality-control lifecycle.</p>

News from LabRulezICPMS Library - Week 36, 2026

<p><strong>In the week of September 7, the following webinars await you in the field of gas / solid phase and especially Raman, FTIR, GC and GC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>6 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><span><strong>1. Thermo Fisher Scientific: Software Workflows for Environmental Microplastics Analysis by Py-GC-MS</strong></span></h5><ul><li><span>Tu, 8.9.2026 18:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6486"><span>Registration</span></a></li></ul><p><span>Learn how integrated Chromeleon CDS and F-Search software streamline Py-GC-MS workflows for microplastics, from polymer identification and quantitation to data review and reporting.</span></p><h5><span><strong>2. Thermo Fisher Scientific: Analyzing Microplastics in Complex Biological Samples Using Py-GC-HRMS</strong></span></h5><ul><li><span>We, 9.9.2026 18:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6487"><span>Registration</span></a></li></ul><p><span>Discover how Py-GC-HRMS improves microplastics analysis in complex biological samples through enhanced selectivity, sensitivity, and confident compound identification.</span></p><h5><span><strong>3. Thermo Fisher Scientific: Advanced software tips for GC and GC-MS analysis</strong></span></h5><ul><li><span>We, 9.9.2026 18:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6481"><span>Registration</span></a></li></ul><p><span>Join this webinar on advanced Chromeleon CDS tips for GC and GC-MS. Learn how to automate data processing and boost laboratory productivity.</span></p><h5><span><strong>4. Anton Paar: Correlating Mechanical and Chemical Properties: Introduction to Rheo-Raman for Polymers</strong></span></h5><ul><li><span>We, 9.9.2026 18:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6378"><span>Registration</span></a></li></ul><p><span>Discover how combining rheology with Raman spectroscopy enables real-time insights into polymerization, crystallization, thermal stability, and polymer structure–property relationships.</span></p><h5><span><strong>5. Agilent Technologies: Overcoming Key Challenges in Microplastics Analysis</strong></span></h5><ul><li><span>Th, 10.9.2026 07:30 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6469"><span>Registration</span></a></li></ul><p><span>Learn how LDIR chemical imaging simplifies microplastics analysis through automated polymer identification, sizing, and characterization.</span></p><h5><span><strong>6. SciY/Mestrelab Research: Advancing Lean Chemometrics: Iterative Optimization Technology as a Process Analytical Technology Tool for Reducing Calibration Burden</strong></span></h5><ul><li><span>Th, 10.9.2026 17:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6428"><span>Registration</span></a></li></ul><p><span>Accelerate PAT deployment with lean chemometrics and learn how Iterative Optimization Technology can reduce calibration burden in process analytical workflows.</span></p><h5><span><strong>7. Thermo Fisher Scientific: Confident Microplastics Analysis in Food with Py-GC Orbitrap MS</strong></span></h5><ul><li><span>Th, 10.9.2026 18:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6488"><span>Registration</span></a></li></ul><p><span>Discover how Py-GC Orbitrap MS enables confident identification and quantification of microplastics in complex food and environmental samples using targeted and non-targeted workflows.</span></p><h5><span><strong>8. Agilent Technologies: IR Microscopy to Streamline Your Microplastics Analysis</strong></span></h5><ul><li><span>Th, 10.9.2026 20:00 CEST</span></li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6440"><span>Registration</span></a></li></ul><p><span>Learn how the Agilent 8700 LDIR simplifies microplastics analysis with automated laser-based IR imaging that reduces analysis time for environmental laboratories.</span></p>

Webinars LabRulezGCMS Week 37/2026

<p><strong>In the week of September 7, the following webinars await you in the field of liquid phase and especially HPLC and LC/MS.</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>6 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Thermo Fisher Scientific: Spatial Proteomics for Translational Research</strong></h5><ul><li>Tu, 8.9.2026 07:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6456">Registration</a></li></ul><p>Learn how Thermo Fisher's EVOS S1000 system and Aluora kits reduce sample costs for tumor imaging and support spatial proteomics workflows in translational research.</p><h5><strong>2. Waters Corporation: Streamlining Endotoxin Testing: Automated Sample Preparation and Audit-Ready Workflows for QC Laboratories</strong></h5><ul><li>Tu, 8.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6461">Registration</a></li></ul><p>Learn how combining the Waters Andrew+ Robot and bioMérieux ENDOZYME® II GO automates endotoxin sample preparation and supports efficient, audit-ready QC workflows.</p><h5><strong>3. Thermo Fisher Scientific: Advantages of microbore column use in ion chromatography</strong></h5><ul><li>We, 9.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6480">Registration</a></li></ul><p>Discover how microbore columns can make ion chromatography greener and more cost-effective by reducing eluent consumption and extending consumable lifetime.</p><h5><strong>4. New Food magazine: Measuring what matters: water quality analysis with UV-Visible spectrophotometry</strong></h5><ul><li>We, 9.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6392">Registration</a></li></ul><p>Explore how UV-Visible spectrophotometry supports reliable water quality analysis across a range of laboratory and environmental applications.</p><h5><strong>5. Agilent Technologies: From Complexity to Clarity: A User-Friendly Peptide-Mapping-Based Multi-Attribute Method Workflow to Monitor Critical Quality Attributes for Quality Control</strong></h5><ul><li>We, 9.9.2026 18:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6493">Registration</a></li></ul><p>Learn how a user-friendly peptide-mapping-based multi-attribute method (MAM) workflow simplifies critical quality attribute monitoring and supports routine biopharmaceutical QC.</p><h5><strong>6. US HUPO: Pride, Prejudice, and Plasma - Lessons from History for Modern Proteomics</strong></h5><ul><li>We, 9.9.2026 19:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6482">Registration</a></li></ul><p>Explore how lessons from the history of plasma research can inform modern proteomics, with perspectives on past assumptions, evolving technologies, and future directions.</p><h5><strong>7. Agilent Technologies: Nitrosamine Testing: What Makes the Difference?</strong></h5><ul><li>We, 9.9.2026 19:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6462">Registration</a></li></ul><p>Learn how triple quadrupole LC/MS and appropriate column selection enable sensitive nitrosamine and NDSRI testing in pharmaceuticals at ultra-trace levels.</p><h5><strong>8. Waters Corporation: GLP-1 Analogs: Enhancing Impurity Profiling with LC-UV/MS Workflows</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6467">Registration</a></li></ul><p>Learn how LC-UV/MS and HRMS workflows support GLP-1 therapeutic impurity profiling, including identification of sequence variants and degradation pathways.</p><h5><strong>9. Technology Networks: Tackling Bispecific Antibody Purification: A Polishing Case Study</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6468">Registration</a></li></ul><p>Explore resin screening strategies for bispecific antibody polishing to remove product-related impurities and support efficient process scale-up.</p><h5><strong>10. KNAUER: Autonomous Impinging Jets Mixing for LNP Process Development</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6464">Registration</a></li></ul><p>Learn how automated impinging jets mixing, inline analytics, and closed-loop optimization can accelerate LNP process development for RNA delivery research.</p><h5><strong>11. SciY/Mestrelab Research: Advancing Lean Chemometrics: Iterative Optimization Technology as a Process Analytical Technology Tool for Reducing Calibration Burden</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6428">Registration</a></li></ul><p>Discover how Iterative Optimization Technology and lean chemometrics can accelerate PAT deployment while reducing calibration burden in analytical workflows.</p><h5><strong>12. Technology Networks: Improving mAb Purification Efficiency With Hydrophobic Interaction Chromatography</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6377">Registration</a></li></ul><p>Learn how flow-through hydrophobic interaction chromatography can improve monoclonal antibody purification by replacing traditional CEX polishing, increasing loading capacity, and supporting process scale-up.</p><h5><strong>13. SCIEX: LC-MS/MS Analysis of Nitrosamines using novus V55</strong></h5><ul><li>Fr, 11.9.2026 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6485">Registration</a></li></ul><p>Discover sensitive LC-MS/MS workflows for ultra-trace nitrosamine analysis using the SCIEX novus V55, including sample preparation, MRM quantitation, validation, and regulatory compliance.</p><h5><strong>14. SelectScience: GLP-1 &amp; GIP under the lens: HRMS strategies for synthetic peptide profiling</strong></h5><ul><li>Fr, 11.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6484">Registration</a></li></ul><p>Discover how HRMS workflows support confident sequence confirmation, impurity profiling, and degradation analysis of synthetic peptides such as semaglutide and tirzepatide.</p>

Webinars LabRulezLCMS Week 37/2026

<p><strong>In the week from September 7, the following webinars await you in the field of atomic and molecular spectroscopy and spectrometry</strong></p><blockquote><h4><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/webinars"><strong>👉 DETAILS AND REGISTRATION IN THE WEBINARS SECTION</strong></a></h4><p><strong>👉 Search and filter in the largest global database</strong> with over <strong>6 000 GC, LC, MS and spectroscopy webinars</strong>.</p></blockquote><h5><strong>1. Thermo Fisher Scientific: Spatial Proteomics for Translational Research</strong></h5><ul><li>Tu, 8.9.2026 07:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6456">Registration</a></li></ul><p>Learn how Thermo Fisher's EVOS S1000 system and Aluora kits reduce sample costs for tumor imaging and support spatial proteomics workflows in translational research.</p><h5><strong>2. SelectScience: Managing 4D-STEM data with smarter acquisition</strong></h5><ul><li>Tu, 8.9.2026 15:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6427">Registration</a></li></ul><p>Tackle the 4D-STEM data burden and explore smarter acquisition strategies designed to improve efficiency and manage increasingly complex microscopy datasets.</p><h5><strong>3. Milestone: Mastering Geological Sample Preparation: Strategies for Complete Digestion and Low Blanks</strong></h5><ul><li>We, 9.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6483">Registration</a></li></ul><p>Learn how SRC microwave digestion supports complete dissolution of rocks, sediments, and mineral ores while reducing blanks and improving reliability in elemental and isotopic analysis.</p><h5><strong>4. New Food magazine: Measuring what matters: water quality analysis with UV-Visible spectrophotometry</strong></h5><ul><li>We, 9.9.2026 16:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6392">Registration</a></li></ul><p>Explore how UV-Visible spectrophotometry supports reliable water quality analysis across a range of laboratory and environmental applications.</p><h5><strong>5. C&amp;EN: Expanding NMR Possibilities with HFX Cryogenic Probes</strong></h5><ul><li>We, 9.9.2026 17:00 CET</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6463">Registration</a></li></ul><p>Discover how JEOL SuperCOOL MARVEL HFX Duo cryogenic probe technology combines high sensitivity with HFX triple resonance to expand fluorine NMR analysis.</p><h5><strong>6. Anton Paar: Correlating Mechanical and Chemical Properties: Introduction to Rheo-Raman for Polymers</strong></h5><ul><li>We, 9.9.2026 18:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6378">Registration</a></li></ul><p>Discover how combining rheology with Raman spectroscopy enables real-time insights into polymerization, crystallization, thermal stability, and polymer structure–property relationships.</p><h5><strong>7. Agilent Technologies: Overcoming Key Challenges in Microplastics Analysis</strong></h5><ul><li>Th, 10.9.2026 07:30 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6469">Registration</a></li></ul><p>Learn how LDIR chemical imaging simplifies microplastics analysis through automated polymer identification, sizing, and characterization.</p><h5><strong>8. SciY/Mestrelab Research: Advancing Lean Chemometrics: Iterative Optimization Technology as a Process Analytical Technology Tool for Reducing Calibration Burden</strong></h5><ul><li>Th, 10.9.2026 17:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6428">Registration</a></li></ul><p>Discover how Iterative Optimization Technology and lean chemometrics can accelerate PAT deployment while reducing calibration burden in analytical workflows.</p><h5><strong>9. Agilent Technologies: IR Microscopy to Streamline Your Microplastics Analysis</strong></h5><ul><li>Th, 10.9.2026 20:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6440">Registration</a></li></ul><p>Learn how the Agilent 8700 LDIR simplifies microplastics analysis with automated laser-based IR imaging that reduces analysis time for environmental laboratories.</p><h5><strong>10. SelectScience: TechTalk: Benefits of high-resolution ICP-OES for challenging applications</strong></h5><ul><li>Fr, 11.9.2026 10:00 CEST</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/webinar/6470">Registration</a></li></ul><p>Learn how high-resolution ICP-OES from Analytik Jena can improve spectral resolution and trace-element detection for demanding analytical applications.</p>

Webinars LabRulezICPMS Week 37/2026

Automated Rapid Organic-Solvent-Free Metabolomics via Arrow–GC–MS: An Optimized Green Workflow for Human Plasma Profiling

Coupling micro-flow liquid chromatography with Q-Orbitrap high-resolution mass spectrometry for greener, comprehensive pesticide residue analysis in fruits and vegetables

Size distribution and elemental analysis of fine particles from Li-ion battery cell fire

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezGCMS Library in the week of 7th September 2026? Check out new documents from the field of the gas phase, especially GC and GC/MS techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT GCMS AND RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><strong>LabRulezICPMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies </strong>and <strong>Shimadzu, </strong>presentation by<strong> MDCW / Los Alamos National Laboratory </strong>and other document by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: Quantification of Microplastics in Soil and Sediment Using Dry-Ice-Assisted Fractionation</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_8700_ldir_chemical_imaging_system_5994_9256en_agilent_94102868f0.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>Microplastics are now widely reported in terrestrial environments, including soil and sediments, raising concerns about soil health and potential human exposure pathways (for example, in agricultural regions).1,2 Microplastics can be classified by polymer type and particle characteristics (size, color, and morphology such as fragments and fibers) and may be primary (manufactured small) or secondary (formed from the breakdown of larger plastic items). In this workflow, microplastics were defined as particles ranging from 1 µm to &lt;&nbsp;1,000 µm.&nbsp;</p><p>Reliable and reproducible quantification remains challenging, limiting comparability between studies and complicating risk assessment and the development of defensible monitoring approaches. Challenges occur across the workflow, from sampling and extraction through to instrumental analysis and reporting, and are exacerbated by environmental heterogeneity, inconsistent reporting, and the limited availability of standard reference materials and routine quality control&nbsp;procedures.&nbsp;</p><p>Conventional soil microplastics workflows typically include drying, density separation and/or flotation, chemical digestion to remove organic matter, and filtration prior to spectroscopic identification.3–5 In this application note, we combined a fast, practical extraction workflow with consistent, automated instrumental analysis by adapting foam fractionation to soil and sediment. Several bubbling strategies (soda water, compressed air, and nitrogen) were evaluated; dry ice was selected because it produced vigorous mixing and stable foam in the presence of a surfactant, enhancing exposure of particles to the foam layer and improving isolation from the matrix.&nbsp;</p><p>All method validation and environmental sample analyses were performed using an Agilent 8700 LDIR chemical imaging system, providing automated particle location, polymer identification, sizing, and counting. A particle-based internal standard was integrated into the workflow as a simple, sample‑specific check on extraction and transfer&nbsp;performance.</p><h4><strong>Results and discussion</strong></h4><h5><strong>Environmental sample overview&nbsp;</strong></h5><p>The workflow was applied to environmental samples from Victoria, Australia, including three soil types (chromosol, dermosol, and hydrosol) and freshwater sediment from three locations. In all samples, the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=8700%C2%A0LDIR"><strong>8700&nbsp;LDIR</strong></a> provided automated particle identification, sizing, and counting of microplastics following dry-ice-assisted fractionation and density separation. Soil concentrations ranged from 4,360 to 102,000 microplastics kg–1, with acrylonitrile butadiene styrene and polyamide the most frequently detected polymers. Sediment concentrations ranged from 41,400 to 127,000 microplastics kg–1 and were dominated by fragments in the 10 to 50 µm size&nbsp;range.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study demonstrates the suitability of the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=10&amp;search=8700%C2%A0LDIR"><strong>Agilent 8700 LDIR chemical imaging system</strong></a> for automated, particle‑based quantification of microplastics in complex soil and sediment matrices. When combined with dry-ice-assisted foam fractionation, the 8700 LDIR provided reliable identification, sizing, and counting of microplastics across a broad size and density range with high&nbsp;repeatability.&nbsp;</p><p>The integration of a particle-based ISTD within the LDIR workflow enabled sample-specific performance assessment, addressing a key limitation in current microplastic methodologies. Application to environmental samples confirmed the robustness of the approach and highlighted the capability of the 8700 LDIR to support high‑confidence, reproducible microplastics analysis for research and routine monitoring applications.</p><h3><strong>2. MDCW / Los Alamos National Laboratory: Discovery-based analysis for chromatographic trends using alteration analysis (ALA) and two-dimensional correlation analysis (2DCOR)</strong></h3><ul><li>Presentation</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/O_1_Freye_10783a9cf3.pdf"><strong>Full PDF for download</strong></a></li></ul><section><div><div><div><div><div><div><p>The presentation focuses on discovery-based analysis of complex chromatographic datasets using <strong>Alteration Analysis (ALA)</strong> and <strong>Two-Dimensional Correlation Analysis (2DCOR)</strong>. The motivation is to avoid manual chromatogram comparison and labor-intensive peak-table processing, especially for GC-TOFMS and GC×GC datasets that can contain billions of data points. Instead, the authors analyze raw data directly and use statistical methods to identify only those features that show meaningful chemical changes across a series of samples.</p><p>ALA provides a quantitative way to detect how individual data points vary across a sample series. It generates three outputs: the <strong>Basic Alteration Map (BAM)</strong> for overall change, the <strong>Synchronous Alteration Map (SAM)</strong> for mainly linear changes, and the <strong>Asynchronous Alteration Map (AAM)</strong> for nonlinear behavior. Validation with simulated datasets showed that ALA can detect relatively small changes and remains effective even for severely overlapping chromatographic peaks. The presentation reports that its performance remains similar to that for isolated peaks down to a resolution of about <strong>Rs 0.3</strong>, and under suitable signal-to-noise and change conditions it can still succeed at resolutions as low as <strong>Rs 0.01</strong>.</p><p>While ALA identifies which signals are changing and the type or magnitude of that change, <strong>2DCOR adds information about how those changes are related to one another</strong>. Synchronous correlation maps describe whether signals change together in the same or opposite direction, while asynchronous maps help establish sequential relationships between changes. Using Noda’s rule, the order in which chemical features respond to an external perturbation can be inferred. The combined ALA–2DCOR workflow therefore provides three key pieces of information: <strong>the significance of a change, the relationship between changing components, and the order in which those changes occur</strong>.</p><p>Extending these methods to GC×GC required additional processing because of chromatographic misalignment and the enormous size of two-dimensional datasets, with GC×GC-HRMS data reaching roughly <strong>80 billion data points</strong>. The solution presented is to divide the chromatographic space into tiles, apply ALA to locate important features, then re-center tiles and use 2DCOR on the relevant regions. In a recent application to <strong>high-explosive aging</strong>, ALA detected more than <strong>250 chemical changes</strong>, providing insight into decomposition behavior where simpler feature-selection approaches such as the F-ratio were insufficient. The authors conclude that combining ALA and 2DCOR offers a practical route for discovering and interpreting chemical trends in highly complex GC-MS and GC×GC datasets.</p><h3><strong>3. Shimadzu: Residual Solvent Analysis in Pharmaceuticals with N2 Carrier Gas Using </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=GC-2060"><strong>Nexis GC-2060</strong></a><strong> and </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=HS-20+NX"><strong>HS-20 NX</strong></a></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01172_en_59d0e341a0.pdf"><strong>Full PDF for download</strong></a></li></ul><h4><strong>User benefits</strong></h4><ul><li>The newly designed FID delivers outstanding sensitivity, ensuring highly accurate and reliable analysis.</li><li>Achieve full compliance with JP and USP guidelines using N2 carrier gas, which is highly affordable and readily available.</li><li>Easily analyzes tert-butyl alcohol and Cyclopentyl methyl ether, the Class 2 solvents added in the ICH Q3C (R8) guideline.</li></ul><p>For the analysis of residual solvents in pharmaceuticals, headspace gas chromatography (HS-GC) is widely used to target Class 1 and Class 2 solvents, in accordance with USP General Chapter &lt;467&gt; and JP18 (Japanese Pharmacopoeia, 18th Edition). These regulatory tests demand high sensitivity and reproducibility. The newly developed FID for the Nexis GC-2060 offers superior detection sensitivity compared to conventional models, enabling highly sensitive analysis. Additionally, due to recent helium supply shortages and rising costs, there is a growing demand for alternative analysis using nitrogen (N2) as a carrier gas.&nbsp;</p><p>This application note presents the analysis of Class 1 and Class 2 water-insoluble samples using the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/gcms/library?mainauthorItems=1&amp;search=GC-2060"><strong>Nexis GC-2060</strong></a> with N2 carrier gas, compliant with Supplement II to the Japanese Pharmacopoeia. DMSO was used as the sample solvent.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Using the Nexis GC-2060 with nitrogen (N2) carrier gas, we successfully achieved the analytical precision required by the Japanese Pharmacopoeia (JP18) and USP General Chapter &lt;467&gt;. The HS-GC method delivered excellent S/N ratios and high repeatability for the analysis of residual solvents in waterinsoluble pharmaceutical samples.</p><h3><strong>4. Thermo Fisher Scientific: Measuring and monitoring emissions at data centers: A practical guide to compliance and performance</strong></h3><ul><li>Other document (white paper)</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/datacenter_emissions_wp1802_en_45a9da8df3.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The rapid expansion of data centers, driven by artificial intelligence (AI), cloud computing, and digital infrastructure, is creating unprecedented demand for electrical power. In many regions, utility interconnection delays, transmission constraints, and the need to bring new computing capacity online quickly are driving data center developers to incorporate onsite power generation as part of their energy strategy. Natural gas-fired turbines, reciprocating engines, and other distributed generation assets are increasingly being deployed to supplement or, in some cases, serve as the primary source of power for new facilities.&nbsp;</p><p>As data centers evolve from purely electrical loads into powergenerating facilities, they become subject to a range of air permitting, emissions reporting, and regulatory compliance requirements. Consequently, emissions monitoring has emerged as a critical component of both regulatory compliance and responsible facility operation. Facility owners and operators must balance the need for reliable power generation with increasingly stringent environmental requirements while maintaining operational performance and uptime.&nbsp;</p><p>This white paper provides a practical, technically grounded overview of emissions monitoring strategies for data centers with onsite power generation. It outlines the regulatory landscape, reviews common monitoring approaches, and discusses key system design considerations to help facility owners, operators, engineers, and environmental professionals develop effective compliance strategies while supporting the continued growth of digital infrastructure.</p><h4><strong>Analyzer technology considerations for modern CEMS&nbsp;</strong></h4><p>Gas analyzers form the core of any continuous emissions monitoring system. These instruments rely on well-established measurement principles that are recognized by regulatory agencies worldwide. Chemiluminescence detection (CLD), as described in EPA Method 7E², is widely used for NOx measurement due to its sensitivity, selectivity, and long-term stability. Similarly, non-dispersive infrared (NDIR) technology, as described in EPA Method 10³, is commonly used for carbon monoxide (CO) monitoring. These proven measurement techniques are broadly accepted across federal, state, and local regulatory programs and provide the accuracy and reliability required for emissions compliance applications. Selecting analyzer platforms that are widely deployed and familiar to regulators, testing organizations, and CEMS integrators can further simplify implementation, helping facilities achieve a smoother commissioning process and faster path to compliance.&nbsp;</p><p>Within this context, modern analyzer platforms like the <strong>Thermo Scientific™ 42iQ NO-NO2-NOx Gas Analyzer </strong>and the <strong>Thermo Scientific™ 48iQ CO Gas Analyzer</strong> have been specifically designed to support continuous emissions monitoring applications. These systems deliver high sensitivity, low detection limits, and stable performance across a wide range of operating conditions. Both analyzers can also be configured with optional oxygen (O₂) measurement capability, providing a convenient and cost-effective solution for monitoring NOx , CO, and O₂. This capability is particularly valuable in direct extractive CEMS configurations, where oxygen measurements are often required for emissions correction and reporting.&nbsp;</p><p>Seamless integration with data acquisition and handling systems (DAHS) is another key requirement for a modern CEMS. Analyzer platforms must support reliable data communication and interoperability, enabling consistent reporting and alignment with regulatory requirements.&nbsp;</p><p>Selecting the appropriate analyzer technology is a critical step in CEMS design. A well-designed analyzer solution not only supports compliance, it also contributes to long-term operational efficiency, reduced lifecycle costs, and confidence in emissions data.</p></div></div></div></div></div></div></section></div></div></div></div></div></div></section>

News from LabRulezGCMS Library - Week 37, 2026

News from LabRulezLCMS Library - Week 37, 2026

<p><strong>Our Library never stops expanding. What are the most recent contributions to LabRulezICPMS Library in the week of 7th September 2026? Check out new documents from the field of spectroscopy/spectrometry and related techniques!</strong></p><blockquote><p><span style="font-size:20px;">👉 </span><a target="_blank" rel="noopener noreferrer" href="https://icpms.labrulez.com/library"><span style="font-size:20px;"><strong>SEARCH THE LARGEST REPOSITORY OF DOCUMENTS ABOUT SPECTROSCOPY/SPECTROMETRY RELATED TECHNIQUES</strong></span></a></p></blockquote><blockquote><p><strong>👉 Need info about different analytical techniques?</strong> Peek into <a target="_blank" rel="noopener noreferrer" href="https://lcms.labrulez.com/library"><strong>LabRulezLCMS</strong></a> or <a target="_blank" rel="noopener noreferrer" href="https://gcms.labrulez.com/library"><strong>LabRulezGCMS</strong></a> libraries.</p></blockquote><p>This week we bring you application notes by <strong>Agilent Technologies, Metrohm </strong>and<strong> Shimadzu </strong>and brochure by<strong> Thermo Fisher Scientific!</strong></p><h3><strong>1. Agilent Technologies: </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP‑QQQ</strong></a><strong> with m‑Lens for Ultratrace Analysis of High‑Purity Reagents</strong></h3><p><strong>Achieving low backgrounds under hot plasma conditions using ICP-QQQ preset methods&nbsp;</strong></p><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_m_lens_high_purity_reagents_9500_icp_qqq_5994_9062en_agilent_f0e65c4d9b.pdf"><strong>Full PDF for download</strong></a><strong>&nbsp;</strong></li></ul><p>Controlling trace-metal contaminants is essential in both semiconductor reagent analysis and metal‑based materials characterization. High‑purity chemicals such as nitric acid (HNO<sub>3</sub>) and sulfuric acid (H<sub>2</sub>SO<sub>4</sub>), as well as high‑purity metals, require analytical workflows capable of achieving sub‑ppt detection limits (DLs) while maintaining excellent robustness and reproducibility. To meet these needs, the <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 Triple Quadrupole ICP‑MS (ICP‑QQQ)</strong></a><strong> </strong>equipped with a Dual‑Cell System (DCS)<sup>1</sup> and the optional m‑lens ion optics provides a highly stable platform, enabling low backgrounds and reliable performance under hot plasma conditions.&nbsp;</p><p>The m‑lens is engineered to suppress background signals for elements including easily ionized elements such as Na and K that typically show elevated background equivalent concentrations (BECs) under hot plasma conditions. The 9500 ICP-QQQ with m‑lens is suitable for the analysis of metal digests and other sample types that demand robust performance and low backgrounds.<sup>2</sup></p><p>However, its benefits also extend to low‑matrix, high‑purity reagents, supporting sub‑ppt impurity measurements of simpler matrices.<sup>3&nbsp;</sup></p><p>Agilent’s ICP‑QQQ portfolio allows users to select instruments based on desired DLs and operational objectives. For laboratories seeking the lowest possible DLs, the Agilent 8900 Semiconductor configuration ICP-QQQ equipped with an s‑lens provides exceptional sensitivity, making it suitable for laboratories operating at the extreme limits of ultratrace quantification. The 9500 ICP-QQQ with m‑lens provides robust, high sensitivity measurements, ideal for routine trace level applications. This model is appropriate for labs that may not require the lowest DLs for every element but still demand high‑quality, reproducible data.&nbsp;</p><p>In this study, we evaluated the performance of the 9500 ICP‑QQQ using a method designed specifically for low‑matrix, high‑purity reagents. Using preset methods implemented in the instrument software for ultrapure water (UPW) and for H<sub>2</sub>SO<sub>4</sub> —the UPW method is also applicable to diluted HNO<sub>3</sub> and H<sub>2</sub>O<sub>2</sub> — we analyzed 1% HNO<sub>3</sub> and high purity H<sub>2</sub>SO<sub>4</sub> separately. Sub-ppt DLs and low backgrounds were achieved for target analytes in both matrices. These results confirm that the 9500 ICP‑QQQ with m-lens can be used for ultratrace impurity analysis of semiconductor‑grade reagents, as well as demanding metal‑matrix applications.&nbsp;</p><h4><strong>Experimental</strong></h4><h5><strong>Instrumentation&nbsp;</strong></h5><p>The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=10&amp;search=9500"><strong>Agilent 9500 ICP-QQQ</strong></a> fitted with the optional m-lens and the Agilent I-AS autosampler were fully controlled using Agilent OpenLab ICP-MS software version 1.1. Designed for ultratrace metal analysis, the sample introduction system comprised a MicroFlow PFA nebulizer with I-AS probe (operated in self-aspiration mode), a temperature-controlled quartz spray chamber, and a quartz torch with a 2.5 mm inner diameter (id) injector. A platinum-tipped sampler cone with copper base and a platinum-tipped skimmer cone with nickel base for m-lens were used.&nbsp;</p><p>The 9500 ICP‑QQQ was operated using five tune modes: no gas, Advanced Helium Mode (AHM), O2 , NH3 , and H2 . For the H2 SO4 samples, additional specialized tunes were prepared for the determination of platinum (Pt) and zinc (Zn) to ensure optimal performance (Table 1). The use of reaction and collision gases enabled effective removal of spectral interferences originating from argon plasma species as well as matrix‑related polyatomic ions. The makeup gas flow rate and the Omega lens voltage parameters were automatically optimized by the preset methods for m-lens, resulting in a stable CeO/Ce ratio that was maintained between approximately 1 and 3%.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>This study evaluated the Agilent 9500 ICP‑QQQ with m‑lens for ultratrace analysis of high‑purity reagents using preset methods for 1% HNO3 and 9.8% H2 SO4 . Sub‑ or singlefigure ppt detection limits and low background equivalent concentrations were achieved for all elements, demonstrating that ultratrace measurements can be easily performed under hot‑plasma conditions. The Dual‑Cell System enabled effective removal of matrix‑related interferences, with Advanced Helium Mode providing an effective approach for the measurement of challenging elements such as Zn in H2 SO4 . The results show that the 9500 ICP‑QQQ with intuitive preset methods can deliver sensitive, low-background data, offering an accessible entry point for laboratories that are new to ultratrace analysis.</p><h3><strong>2. Metrohm: Rapid quality control of fruits and vegetables using NIR spectroscopy</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_nir_141_download_e1bab41aee.pdf"><strong>Full PDF for download</strong></a></li></ul><p>Near-infrared (NIR) spectroscopy has emerged as a powerful, nondestructive analytical technique for quality control in the fruit and vegetable processing industry. This Application Note presents the use of NIR spectroscopy for the rapid monitoring of firmness in apples and °Brix in peaches and crushed tomatoes. These are critical parameters to verify the quality and freshness of various fruits and vegetables. Traditionally measured using destructive methods like penetrometry and refractometry, these fresh produce quality control attributes are critical indicators of ripeness, sweetness, and overall consumer acceptability.</p><h4><strong>EXPERIMENTAL EQUIPMENT</strong></h4><p>All samples were tested with a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=220&amp;search=NIR"><strong>Metrohm near-infrared (NIR) spectrometer.</strong></a> The measurements were done in reflection mode using either a large sample cup or direct measurement (i.e., no holder). Metrohm software was used for all data acquisition and quantification model development.</p><h4><strong>CONCLUSION</strong></h4><p>This Application Note shows that NIR spectroscopy can easily measure firmness in apples, as well as °Brix in peaches and crushed tomatoes. When compared to traditional lab methods (Table 1), NIRS provides a faster, simpler, and nondestructive alternative with excellent accuracy and consistency. All measurements proved to be consistent and fast, helping producers to monitor their fresh fruits and vegetables and deliver high-quality products to consumers.</p><h3><strong>3. Shimadzu: Evaluation of Surface Carbon on Lithium-Ion Battery Cathode Active Materials Using a TOC Analyzer and Infrared/Raman Microscope</strong></h3><ul><li>Application note</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/an_01_01122_en_b3b0f25211.pdf"><strong>Full PDF for download</strong></a></li></ul><h5><strong>User benefits</strong></h5><ul><li>The TOC solid sample measurement system enables quantitative evaluation of carbon coatings on cathode active material surfaces.</li><li>The AIRsight infrared/Raman microscope enables evaluation of the carbon layer structure.</li><li>Carbon content and structure can be evaluated using a small amount of sample.</li></ul><p>The cathode active materials used in lithium-ion batteries (LiBs) for electric vehicles (EVs) are broadly classified into two categories depending on their application: nickel-based materials (NCM/NCA/NCMA) and phosphate-based materials (LFP: LiFePO4, LMFP: LiFexMn1-xPO4). Nickel-based materials are characterized by high energy density as well as excellent low-temperature and high-power performance, making them indispensable for longrange driving and high-performance vehicle segments. In contrast, phosphate-based materials offer superior safety, long cycle life, and cost advantages, and their use is expanding primarily in standard-range and mass-market segments.</p><p>Because LFP and LMFP compounds are intrinsically low in electronic conductivity, a carbon coating on the surface of the active material is essential to compensate for that limitation and improve performance. Accordingly, quantitative control of carbon content is of great importance. For that type of carbon analysis, the TOC solid sample measurement system (Fig. 1), which combines a TOC-L total organic carbon analyzer with an SSM-5000A solid sample combustion unit, is effective.&nbsp;</p><p>Furthermore, the conductivity of the surface carbon layer is closely related to the degree of graphitization and defect structure of the carbon, making structural evaluation of the carbon layer equally important. The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=AIRsight"><strong>AIRsight infrared/Raman microscope</strong></a> (Fig. 2) enablessuch structural evaluation.&nbsp;</p><p>This Application News presents examples of evaluating carbon on the surface of LMFP cathode active materials, with carbon quantitation using a <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=TOC-L"><strong>TOC-L </strong></a><strong>+ </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/icpms/library?mainauthorItems=1&amp;search=SSM-5000A"><strong>SSM-5000A system</strong></a> and carbon layer structure evaluation using the AIRsight infrared/Raman microscope.</p><h4><strong>Conclusion&nbsp;</strong></h4><p>Quantitative analysis of the carbon coating on the LMFP surface was performed using the TOC solid sample measurement system (TOC-L + SSM-5000A), and structural evaluation of the carbon layer was conducted using the AIRsight microscope. In addition, Raman analysis of the LMFP residue after TC analysis was carried out to verify the validity of the carbon quantitation results. The TOC solid sample measurement system (TOC-L + SSM-5000A) is capable of not only TC analysis in solid samples, but also of IC and TOC analysis. Furthermore, by simply changing the software settings, carbon analysis of liquid samples (TOC, TC, and IC) can also be performed using the TOC-L main unit. This system can also be applied to carbon analysis of water-extractable TOC in black mass, lithium extraction solutions, and lithium carbonate, all of which are relevant materialsin lithium-ion battery recycling. The AIRsight is capable of both Raman and infrared measurements. Therefore, in addition to the Raman measurements introduced here, it can be used, with a single microscope system, to evaluate degradation caused by charge and discharge cycles in various battery components, such as negative electrode materials and separators.</p><h3><strong>4. Thermo Fisher Scientific: </strong><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2002"><strong>Thermo Scientific GS Omni</strong></a><strong> Light Element Analysis in Slurry Process Streams</strong></h3><ul><li>Brochures and specifications</li><li><a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/pdf/CAD_GS_Omni_Light_Element_Analyzer_bf50abdb7e.pdf"><strong>Full PDF for download</strong></a></li></ul><p>The <a target="_blank" rel="noopener noreferrer" href="https://labrulez.com/en-us/all/products/2002"><strong>Thermo Scientific™ GS Omni analyzer</strong></a> provides accurate, real-time elemental analysis of multiple slurry streams for both light and heavy elements. Using the Prompt Gamma Neutron Activation Analysis (PGNAA) technology, the GS Omni analyzer has a distinct advantage over analyzers using X-ray fluorescence (XRF) and Laser induced breakdown spectroscopy (LIBS) by being able to directly measure elements lower than calcium on the periodic table and particle sizes up to 5mm.</p><h4><strong>Benefits&nbsp;</strong></h4><p>The Thermo Scientific GS (Gamma Slurry) Omni analyzer is the latest development of a proven, robust, analyzer that provides direct simultaneous analysis of multiple elements in slurry beneficiation plants.&nbsp;</p><p>The analyzer is available in configurations of 2 to 8 streams. The optimum number of streams is usually dependent on the stream concentrations, elements of interest, required cycle analysis time, plant layout and process control considerations. This elemental analyzer will enable improvements in product quality, recovery and lower production costs.&nbsp;</p><h4><strong>Applications&nbsp;</strong></h4><p>The Thermo Scientific GS Omni analyzer is a powerful measurement tool in the following applications:&nbsp;</p><ul><li>Slurry beneficiation / Light element analysis&nbsp;</li><li>Product quality / Penalty costs&nbsp;</li><li>Tailings management&nbsp;</li></ul><p>Slurries include:&nbsp;</p><ul><li>Iron ore&nbsp;</li><li>Sulphur&nbsp;</li><li>Phosphates&nbsp;</li><li>Copper&nbsp;</li><li>Calcium carbonate&nbsp;</li><li>Magnesium&nbsp;</li><li>Industrial Minerals</li></ul>

News from LabRulezICPMS Library - Week 37, 2026

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Thermo Fisher Scientific Mass Spectrometry Users’ Meetings 2026

Bruker at Dioxin 2026

The International School on Mass Spectrometry (IntSMS) 2026

Polymeric, porous, monodisperse particle development and application to reversed-phase separations of biological molecules

Navigating PFAS Restrictions in Packaging and Packaging Waste (PPRW) with Py-GC-MS

Using Targeted Methylation Sequencing to Bring Epigenetic Biomarkers to the Clinic